Reinforcement Learning Based Technique for NOMA User Pairing Enhancement in RIS Assisted HetNets-Reference-Cited by-同舟云学术

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Reinforcement Learning Based Technique for NOMA User Pairing Enhancement in RIS Assisted HetNets

Published:2022-12-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
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Author:

Ali Othman M.¹,Damein Mostafa A.¹,Elshimy Motasem¹,Selim Mohamed Y.²,Nasser Ahmed¹^ORCID

Affiliation:

1. Suez Canal University,Electrical Engineering Department,Ismailia,Egypt

2. Iowa State University,Electrical and Computer Engineering Department,Ames,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018926/10018964/10019128.pdf?arnumber=10019128

Reference17 articles.

1. Joint User Pairing and Beamforming for RIS Assisted NOMA Systems

2. A Simple Design of IRS-NOMA Transmission

3. Data-driven Based Technique for Joint Power Allocation and User Pairing in NOMA System

4. Power Efficient IRS-Assisted NOMA

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of resource allocation in 5G networks: A network slicing approach with hybrid NOMA for enhanced uRLLC and eMBB coexistence;International Journal of Communication Systems;2024-07-21

2. Non-orthogonal multi-access user pairing based on neighborhood search with threshold in heterogeneous networks;Third International Conference on Digital Signal and Computer Communications (DSCC 2023);2023-07-28

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